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Parametric channel estimation for massive MIMO

Abstract : Channel state information is crucial to achieving the capacity of multi-antenna (MIMO) wireless communication systems. It requires estimating the channel matrix. This estimation task is studied, considering a sparse channel model particularly suited to millimeter wave propagation, as well as a general measurement model taking into account hybrid architectures. The contribution is twofold. First, the Cramér-Rao bound in this context is derived. Second, interpretation of the Fisher Information Matrix structure allows to assess the role of system parameters, as well as to propose asymptotically optimal and computationally efficient estimation algorithms.
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Contributor : Luc Le Magoarou Connect in order to contact the contributor
Submitted on : Wednesday, April 4, 2018 - 9:29:45 AM
Last modification on : Thursday, July 25, 2019 - 10:35:42 AM


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  • HAL Id : hal-01620505, version 3
  • ARXIV : 1710.08214


Luc Le Magoarou, Stéphane Paquelet. Parametric channel estimation for massive MIMO. 2017. ⟨hal-01620505v3⟩



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